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Algebraic Geometry and Statistical Learning Theory - 9780521864671

Un libro in lingua di Sumio Watanabe edito da Cambridge Univ Pr, 2009

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Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.

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